README.rst

Face Detection Pipeline

Overview

The purpose of face_detection.sh is to demonstrate face detection on one video file source and to verify Hailo’s configuration. This is done by running a single-stream face detection pipeline on top of GStreamer using the Hailo-8 device.

Options

/face_detection.sh

• --input is an optional flag, a path to the video displayed (default is face_detection.mp4).
• --show-fps is an optional flag that enables printing FPS on screen.
• --print-gst-launch is a flag that prints the ready gst-launch command without running it"

Supported Networks

• 'lightface' - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/lightface_slim.yaml

Run

cd $TAPPAS_WORKSPACE/apps/gstreamer/raspberrypi/face_detection/
./face_detection.sh

The output should look like:

How it works

This app is based on our single network with resolution preservation pipeline template

With small modifications:

1. Use decode elements instead of decodebin
2. Increase the number of threads on the videoconvert